International Journal of Artificial Intelligence™

The main aim of the International Journal of Artificial Intelligence™ (ISSN 0974-0635) is to publish refereed, well-written original research articles, and studies that describe the latest research and developments in the area of Artificial Intelligence. This is a broad-based journal covering all branches of Artificial Intelligence and its application in the following topics: Technology & Computing; Fuzzy Logic; Neural Networks; Reasoning and Evolution; Automatic Control; Mechatronics; Robotics; Parallel Processing; Programming Languages; Software & Hardware Architectures; CAD Design & Testing; Web Intelligence Applications; Computer Vision and Speech Understanding; Multimedia & Cognitive Informatics, Data Mining and Machine Learning Tools, Heuristic and AI Planning Strategies and Tools, Computational Theories of Learning; Signal, Image & Speech Processing; Intelligent System Architectures; Knowledge Representation; Bioinformatics; Natural Language Processing; Mathematics & Physics. The International Journal of Artificial Intelligence (IJAI) is a peer-reviewed online journal and is published in Spring and Autumn i.e. two times in a year.

The International Journal of Artificial Intelligence (ISSN 0974-0635) is reviewed, abstracted and indexed by the INSPEC The IET, SCOPUS (Elsevier Bibliographic Databases), Zentralblatt MATH ( of European Mathematical Society, Indian Science Abstracts, getCITED, SCImago Journal & Country Rank, Newjour, JournalSeek,’s Journal Index, Academic keys, Ulrich's Periodicals Directory, IndexCopernicus, and International Statistical Institute (ISI, Netherlands) Journal Index. The IJAI is already in request process to get reviewed, abstracted and indexed by the Clarivate Analytics Web of Science (Also known as Thomson ISI Web of Knowledge SCI), Mathematical Reviews and MathSciNet of American Mathematical Society, and by other agencies.

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2017 Spring (March), Volume 15, Number 1

Open Access Open Access  Restricted Access Subscription or Fee Access

Table of Contents


Stingless Bee Foraging Behaviour Algorithm for Optimisation PDF
Endra Joelianto, Bowo Prakoso 1-20
Comparison of Input Shaper Based on Genetic Algorithms with Analytical Approach PDF
Quang Khanh Duong, Lubos Chovanec, Peter Hubinsky, Daniel Vozak, Michal Matuga, Pavol Varga 21-32
Encodings, Consistency Algorithms and Dynamic Variable - Value Ordering Heuristics for Multiple Permutation Problems PDF
Tayfun Pay, James L. Cox 33-54
Assessment of the Performance of Neural Networks Models for the Prediction of Surface Roughness After Grinding of Steels PDF
Nikolaos E. Karkalos, János Kundrák, Angelos P. Markopoulos 55-75
Fractal-based Algorithm: A New Metaheuristic Method for Continuous Optimization PDF
Marjan Kaedi 76-92
Predictions of Machine Vibrations Using Artificial Neural Networks Trained by Gravitational Search Algorithm and Back-Propagation Algorithm PDF
Quang Hung Do 93-111
Optimization of Artificial Neural Network Architecture Using Neuroplasticity PDF
Mihirini Wagarachchi, Asoka Karunananda 112-125
LiveABT: A Real-Time Repairing Protocol for Incremental and Dynamic DisCSPs PDF
Amine Benamrane, Yosra Acodad, El Houssine Bouyakhf, Imade Benelallam 126-146
Infinite RCC8 Networks PDF
Khalil Challita 147-162
Training Echo State Neural Network Using Harmony Search Algorithm PDF
Javad Saadat, Payman Moallem, Hamidreza Koofigar 163-179
Expert Alarm System for Prediction of Chemistry Faults in a Power Station PDF
T. Krishna Sai, P. Suneel Kumar, Ashoka Reddy Komalla 180-196

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